Computational Aspects of Monte Carlo Tests

Especially in the field of spatial analysis Monte Carlo tests have attracted considerable attention. This paper is intended to discuss the relative merits of Monte Carlo tests and give some recommendations for the needed number of simulations based on a unified approach developed in Jockel (1982) which includes the case of an arbitrary null distribution of the test statistic. Furthermore a short cut procedure is proposed which offers a considerable saving of simulation effort.